Yaah, N. E. | Search bioRxiv

bioRxiv2026

Retrospective Computational and Immunoinformatics Validation of Clinically Evaluated Necator americanus Protein Vaccine Candidates: Na-APR-1, Na-GST-1, and Na-ASP-2

Hookworm disease, primarily caused by Necator americanus, affects about 472 million people worldwide and contributes substantially to global disease burden, yet no approved vaccine is currently available. The clinical failure of Na-ASP-2 protein due to IgE-mediated hypersensitivity highlights the need for safe, immunogenic hookworm vaccines and emphasizes the importance of rigorous pre-clinical safety screening. Using an integrated immunoinformatics approach, this work retrospectively evaluated the safety and immunogenicity of three clinical hookworm protein vaccine candidates: Na-APR-1, Na-GST-1, and Na-ASP-2. Toxigenicity and allergenicity predictions correctly identified Na-ASP-2 as toxigenic and allergenic, consistent with its documented clinical failure, while Na-APR-1 exhibited a favourable safety profile; Na-GST-1 showed inconsistent allergenicity signals warranting experimental validation. Comprehensive epitope prediction identified abundant CTL, HTL, B-cell, and cytokine-inducing epitopes across all candidates, with Na-APR-1 demonstrating the broadest epitope repertoire. HLA population coverage analysis indicated broad global applicability across endemic regions. Molecular docking with TLR4 revealed that all antigens interact with the receptor with binding energies more favourable than the positive control agonist, with Na-GST-1 and Na-APR-1 displaying the strongest predicted affinities. Normal mode analyses predicted stable antigen-TLR4 complex dynamics across all candidates. Immune simulations predicted robust, memory-driven humoral and cellular responses for Na-APR-1 and Na-ASP-2, while Na-GST-1 showed markedly attenuated simulated immunogenicity despite favourable structural and receptor-binding characteristics. These findings support continued clinical development of Na-APR-1, highlight unresolved immunogenic discordances for Na-GST-1 requiring experimental verification, and collectively provide a validated computational framework for advancing rational hookworm vaccine design.

immunology↗

bioRxiv2024

Predictive Immunoinformatics Reveal Promising Safety and Anti-Onchocerciasis Protective Immune Response Profiles to Vaccine Candidates (Ov-RAL-2 and Ov-103) in Anticipation of Phase I Clinical Trials

Onchocerciasis is a devastating tropical disease that causes severe eye and skin lesions. As global efforts shift from disease control to elimination, prophylactic/therapeutic vaccines have emerged as alternative elimination tools. Notably, Ov-RAL-2 and Ov-103 antigens have shown great promise in preclinical studies and plans are underway for clinical trials. Here, we predict the immunogenicity and other vaccine-related parameters for both antigens using immunoinformatics, as potential vaccine candidates against onchocerciasis. The analysis reveals that both antigens exhibit a favourable safety profile, making them promising candidates poised for human trials. Importantly, in silico immune simulation forecasts heightened antibody production and sustained cellular responses for both vaccine candidates. Indeed, the antigens were predicted to harbour substantial numbers of a wide range of distinct epitopes associated with protective responses against onchocerciasis, as well as the potential for stimulating innate immune TLR-4 receptor recognition with Ov-103 exhibiting better structural efficiency and antigenicity with no homology to human proteins compared to Ov-RAL-2. Overall, we provide herein valuable insights for advancing the development of Ov-103 and RAL-2 vaccine candidates against onchocerciasis in humans. Authors summaryTo address the significant impact of onchocerciasis, a tropical disease commonly known as river blindness, we have employed computational tools to assess the viability of two promising vaccine candidates, namely Ov-RAL-2 and Ov-103. Existing control strategies alone are insufficient to eliminate the disease. Our study utilises advanced immunoinformatics techniques to systematically evaluate the safety, antigenicity, and immunogenic properties of these antigens as potential vaccine candidates against onchocerciasis prior to human trials. Our analysis revealed that both vaccine candidates demonstrate favourable safety profiles and possess the capability to induce robust antibody responses and cellular immunity. Notably, we identified numerous distinct epitopes present within each vaccine candidate that are associated with protective immunity against onchocerciasis. The abundance of these epitopes suggests that both vaccine candidates have the potential to activate the immune system through diverse humoral and cellular response mechanisms. By providing these valuable insights, our research assists in guiding the development of Ov-103 and Ov-RAL-2 as effective vaccines against onchocerciasis. Ultimately, our findings contribute to the global endeavour to eliminate this debilitating disease and enhance the quality of life for the millions of affected individuals.

bioinformatics↗